ofxtools is a Python library for working with Open Financial Exchange (OFX)
data - the standard format for downloading financial information from banks
and stockbrokers. OFX data is widely provided by financial institutions so
that their customers can import transactions into financial management
software such as Quicken, Microsoft Money, or GnuCash.
If you want to download your transaction data outside of one of these
programs - if you wish to develop a Python application to use this data -
if you need to generate your own OFX-formatted data... ofxtools is for you!
ofxtools requests, consumes and
produces both OFXv1 (SGML) and OFXv2 (XML) formats.
It converts serialized markup to/from native Python objects of
the appropriate data type, while preserving structure.
It also handles Quicken's QFX format, although it ignores Intuit's proprietary
extension tags.
In a nutshell, ofxtools makes it simple to get OFX data and extract it,
or export your data in OFX format.
ofxtools takes a comprehensive, standards-based approach to processing OFX.
It targets compliance with the OFX specification, specifically OFX versions
1.6 and 2.03.
ofxtoolsCoverage of the OFX Specification- Section 7 (financial institution profile)
- Section 8 (service activation; account information)
- Section 9 (email over OFX)
- Section 10 (recurring bank transfers)
- Section 11 (banking)
- Section 12 (bill pay)
- Section 13 (investments)
This should cover the great majority of real-world OFX use cases. A particular
focus of ofxtools is full support of the OFX investment message set,
which has been somewhat neglected by the Python community.
The major item remaining on the ofxtools "to do" list is to implement the
tax schemas. It's currently a low priority to implement Section 14 (bill
presentment) or the extensions contained in OFX versions beyond 2.03, but
you're welcome to contribute code if you need these.
Some care has been taken with the data model to make it easily maintainable
and extensible. The ofxtools.models subpackage contains simple, direct
translations of the relevant sections of the OFX specification. Using existing
models as templates, it's quite straightforward to define new models and
cover more of the spec as needed (the odd corner case notwithstanding).
More than 10 years' worth of OFX data from various financial institutions
has been run through the ofxtools parser, with the results checked. Test
coverage is high.
Full documentation is available at Read the Docs.
For ease of installation, ofxtools is released on PyPI.
Development of ofxtools is centralized at GitHub, where you will find
a bug tracker.
ofxtools requires Python version 3.7+, and depends only on the standard
libary (no external dependencies).
NOTE: As of version 0.6, ofxtools no longer supports Python version 2, which goes EOL 2020-01-01.